{"id":"W2262384175","doi":"","title":"Pedestrian Fatality Data Quality: Problems and Definitions","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Quarter (Canadian coin); Transport engineering; Data quality; Data collection; Quality (philosophy); Business; Engineering; Geography; Operations management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007793431,0.0004579616,0.0005635621,0.0009152713,0.0009596758,0.0001855168,0.001102555,0.0003916821,0.0003059278],"category_scores_gemma":[0.0005283976,0.0003790319,0.0001278648,0.001638422,0.001265433,0.001552481,0.00004200686,0.00135979,0.0002021752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001682331,"about_ca_system_score_gemma":0.0003276784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004050593,"about_ca_topic_score_gemma":0.02521829,"domain_scores_codex":[0.9912873,0.000983866,0.001407876,0.001323949,0.003179359,0.001817661],"domain_scores_gemma":[0.9940126,0.001963578,0.0001082497,0.00135626,0.001637319,0.000921983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002206673,0.001402835,0.6599642,0.00764838,0.001068202,0.0005196819,0.0300471,0.005591682,0.02309649,0.08818489,0.0528351,0.1274348],"study_design_scores_gemma":[0.002690533,0.0002906056,0.9236072,0.0005116072,0.00005009769,0.000001374359,0.004538127,0.000514663,0.0004789559,0.004067453,0.06246272,0.0007866445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758701,0.0006698648,0.00731673,0.003838407,0.0002479001,0.001801701,0.006138079,0.001035719,0.003081545],"genre_scores_gemma":[0.9905016,0.004672461,0.002207184,0.00003248553,0.0002143909,0.0003256308,0.001424446,0.0001304701,0.000491289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.263643,"threshold_uncertainty_score":0.9998662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2357836064950796,"score_gpt":0.3954824599312563,"score_spread":0.1596988534361767,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}